docstr: Evaluate current model on test set
  
  Returns:
      Confidence interval of test losses.
docstr_tok: ["Evaluate","current","model","on","test","set","Returns",":","Confidence","interval","of","test","losses","."]
code: def evaluate(self):
      """Evaluate current model on test set
  
      Returns:
          Confidence interval of test losses.
      """
      total_loss = []
      for data_batch in self.data.get_test_batches():
          loss = self.algorithm.evaluate_one_iter(data_batch)
          total_loss.append(loss)
  
      return self._confidence_interval(total_loss)
  
file_path: PARL/benchmark/torch/maml++/maml_agent.py
imports: import numpy
  import scipy
  import parl
  import tqdm
label_desc: Use image node_id 3 for calling the MAMLAgent obj's underlying member method code with example usage: obj.evaluate() and returns: self